This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.
Note:
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Google Cloud Training

Skript

We already discussed one GCP NoSQL database service: Cloud Bigtable. Another highly scalable NoSQL database choice for your applications is Cloud Datastore. One of its main use cases is to store structured data from App Engine apps. You can also build solutions that span App Engine and Compute Engine with Cloud Datastore as the integration point. As you would expect from a fully-managed service, Cloud Datastore automatically handles sharding and replication, providing you with a highly available and durable database that scales automatically to handle load. Unlike Cloud Bigtable, it also offers transactions that affect multiple database rows, and it lets you do SQL-like queries. To get you started, Cloud Datastore has a free daily quota that provides storage, reads, writes, deletes and small operations at no charge.